Data Integration
To support dynamic information environments, data integration solutions need to be scalable, flexible, expandable, well-documented, maintainable and standardized. That’s a tall order, as it turns out. The Ajilitee approach is to build sustainable integration architectures that deliver immediate responses to the most important needs of the business and allow for new and unexpected needs to be addressed as they arise. And with an ever-upward trend of data proliferation due to advances in capture of customer or patient forms, records and other unstructured data, securing and protecting the data while ensuring business continuity becomes especially critical. In the end, we believe the business will define a successful solution as one that meets its most important immediate business needs and can adapt as business needs evolve.
Data integration solutions tightly interlock with data warehousing solutions, and we view them as integrated on many levels. Our data integration services support all major repositories, including data warehouse, data marts, sandboxes / analytical environments, and ad hoc solutions. We also support smart hubs allowing for the single customer view as well as virtual architectures.
The strategic foundational data integration architectures we build incorporate key architecture design principles and best practices to minimize source updates, conversions, consolidations, and regionalization impacts, while reducing current data validation efforts.
Our deep expertise in this area stands out in four key aspects:
Solution architecture
We bridge the requirements defined by the business and tie them into a supporting high-availability data integration framework. Building the solution architecture includes such activities as sizing/capacity planning, migration, versioning and change management, and change data capture implementation by source system. Our solutions encompass Secure Data Management which includes architectures and processes to support disaster recovery, archiving, backup/restore and business continuity.
Technical architecture
Bringing deep familiarity with the tools, hardware, software, platforms, and infrastructure that will enable the long-term solution, we will guide you in choosing the right integration tools. These may include ETL, data modeling, data profiling, performance tuning, change data capture, web portals, servers, and more.
Quality assurance and testing
We employ various types of testing and QA processes, including unit, string, functional, regression, system integration, performance, user acceptance, and end-to-end testing.
Audit, balance, and control (ABC) architecture
Overlooked or given short-shrift in many of the data warehouses we see during Technology Audits, our ABC architecture serves as the foundation for data quality, recovery and rollback, and – through the reporting of business metrics and measures – data governance. The ABC architecture supports the automation and streamlining of data validation processes and procedures.
Our approach is to couple the data integration strategy with the data architecture to achieve scalability, flexibility, and expandability for optimal performance.
